In this course, you will learn
- Deep Learning Basics - Getting started with Anaconda, an important Python data science environment.
- Neural Network Python Applications - Configuring the Anaconda environment for getting started with PyTorch.
- Introduction to Deep Learning Neural Networks - Theoretical underpinnings of the important concepts (such as deep learning) without the jargon.
- AI Neural Networks - Implementing artificial neural networks (ANN) with PyTorch.
- Neural Network Model - Implementing deep learning (DL) models with PyTorch.
- Deep Learning AI - Implement common machine learning algorithms for Image Classification.
- Deep Learning Neural Networks - Implement PyTorch based deep learning algorithms on imagery data.